Improving Reliability of Deduplication-Based Storage Systems with Per-File Parity
| Autor: | Hui Rao, Fang Yu, Huagao Luan, Suzhen Wu, Jindong Zhou, Gen Niu, Hong Jiang, Bo Mao |
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| Rok vydání: | 2018 |
| Předmět: |
Database
RAID Reference counting Computer science business.industry 020206 networking & telecommunications 02 engineering and technology computer.software_genre Software quality law.invention Multiple data law Data redundancy Computer data storage Data_FILES 0202 electrical engineering electronic engineering information engineering Redundancy (engineering) Data deduplication business computer |
| Zdroj: | SRDS |
| Popis: | The reliability issue in deduplication-based storage systems has not received adequate attention. Existing approaches introduce data redundancy after files have been deduplicated, either by replication on critical data chunks, i.e., chunks with high reference count, or RAID schemes on unique data chunks, which means that these schemes are based on individual unique data chunks rather than individual files. This can leave individual files vulnerable to losses, particularly in the presence of transient and unrecoverable data chunk errors such as latent sector errors. To address this file reliability issue, this paper proposes a Per-File Parity (short for PFP) scheme to improve the reliability of deduplication-based storage systems. PFP computes the XOR parity within parity groups of data chunks of each file after the chunking process but before the data chunks are deduplicated. Therefore, PFP can provide parity redundancy protection for all files by intra-file recovery and a higher-level protection for data chunks with high reference counts by inter-file recovery. Our reliability analysis and extensive data-driven, failure-injection based experiments conducted on a prototype implementation of PFP show that PFP significantly outperforms the existing redundancy solutions, DTR and RCR, in system reliability, tolerating multiple data chunk failures and guaranteeing file availability upon multiple data chunk failures. Moreover, a performance evaluation shows that PFP only incurs an average of 5.7% performance degradation to the deduplication-based storage system. |
| Databáze: | OpenAIRE |
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